Hiroyuki Takeda

Computer Vision and Pattern Recognition · IEEE Transactions on Image Processing · 2007–2009

A researcher in the Science corpus: 3 papers; trusts 19 researchers and is trusted by 41 researchers here, as inferred from the citation graph.

Subfields

Whom Hiroyuki Takeda trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

  1. Sina Farsiu
  2. Michael Elad
  3. Trevor J. Hastie
  4. William T. Freeman
  5. Tony F. Chan
  6. Peyman Milanfar
  7. Robert Tibshirani
  8. A. Buades
  9. Xin Li
  10. Javier Portilla

Who trusts Hiroyuki Takeda overall

  1. Peyman Milanfar
  2. Hae Jong Seo
  3. Ce Liu
  4. Kaibing Zhang
  5. Stéphane Mallat
  6. Jose Caballero
  7. G. Yu
  8. Weisheng Dong
  9. Yan Huang
  10. Julien Mairal

Papers from Hiroyuki Takeda's perspective

Ordered by how strongly the researchers Hiroyuki Takeda trusts endorse each paper. Same corpus, a different order for every researcher.

  1. ImageNet classification with deep convolutional neural networks
  2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  3. ImageNet: A large-scale hierarchical image database
  4. Gradient-based learning applied to document recognition
  5. Bilateral filtering for gray and color images
  6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  7. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
  8. Nonlinear total variation based noise removal algorithms
  9. An Iterative Image Registration Technique with an Application to Stereo Vision
  10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers